Statistical estimation in partially nonlinear models with random effects

DOI10.1080/24754269.2017.1396425OpenAlexW2768800567MaRDI QIDQ5880182

Ri-quan Zhang, Ye Que, Zhen-Sheng Huang

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2017.1396425

zbMATH Keywords

asymptotic propertiesGauss-Newton methodmixed-effects modelspartially nonlinear modelsB-splines method

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Estimation and inference for varying coefficient partially nonlinear models
• Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models
• Estimation for the single-index models with random effects
• Linear and generalized linear mixed models and their applications.
• Sieve least squares estimation for partially nonlinear models
• Hedonic housing prices and the demand for clean air
• Estimation of some partially specified nonlinear models
• Estimation in linear models with random effects and errors-in-variables
• Local linear regression smoothers and their minimax efficiencies
• Optimal smoothing in nonparametric mixed-effect models
• PARTIALLY LINEAR MODEL SELECTION BY THE BOOTSTRAP
• Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality
• Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Semiparametric Nonlinear Mixed-Effects Models and Their Applications

This page was built for publication: Statistical estimation in partially nonlinear models with random effects